Acta Optica Sinica, Volume. 37, Issue 8, 0830001(2017)

An Analytical Model for Multi-Wavelength Transmittance Spectra of Bacteria in Water

Yuxia Hu1,2,3, Nanjing Zhao1,3、*, Tingting Gan1,3, Jingbo Duan1,3, Huijuan Yu1,2,3, Deshuo Meng1,3, Jianguo Liu1,3, and Wenqing Liu1,3
Author Affiliations
  • 1 Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Auhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Auhui 230026, China
  • 3 Anhui Key Laboratory of Environment Optical Detection Technology, Hefei, Anhui 230031, China
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    Multi-wavelength transmittance spectra of bacteria in water contain lots of information on their characteristics such as structure, constituent and concentration, and the effective extraction of the information is the foundation of rapid identification and detection of bacteria. The transmittance spectrum of Escherichia coli is recorded with a ultraviolet-visible spectrophotometer. According to Mie scattering theory and absorption and scattering properties, bacterial multi-wavelength transmittance spectrum analytical model in 240-900 nm band is constructed. Based on the model, the spectrum in the range of 250-750 nm is analyzed, the related parameters such as volume, diameter, structure and concentration of Escherichia coli cells are obtained, and these parameters are then compared with the literature data or experimental data. It is shown that the proposed multi-wavelength transmission spectrum model can accurately characterize the spectral features of bacteria in water, and the model can provide important parameters for the rapid analysis and detection of bacteria in water.

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    Yuxia Hu, Nanjing Zhao, Tingting Gan, Jingbo Duan, Huijuan Yu, Deshuo Meng, Jianguo Liu, Wenqing Liu. An Analytical Model for Multi-Wavelength Transmittance Spectra of Bacteria in Water[J]. Acta Optica Sinica, 2017, 37(8): 0830001

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    Paper Information

    Category: Spectroscopy

    Received: Jan. 10, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Zhao Nanjing (njzhao@aiofm.ac.cn)

    DOI:10.3788/AOS201737.0830001

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